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Aug 13, 2024

Social Communication: Digital Technology Impact on Traditional Media

With the rapid development of digital technology, a new social culture has emerged between new media and traditional media. Digital technologies are gradually being integrated into the media industry, significantly enhancing the dissemination efficiency of traditional media programs and providing strong support for the modernization of new media. In this context, media professionals need to deeply understand the impact of social communication on traditional media. This understanding is essential to explore new work models aimed at meeting audience needs, maximizing the advantages of social communication, injecting new vitality into the dissemination of broadcast and television programs, and promoting the sustained and healthy development of traditional media.

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Aug 13, 2024

Effect of low temperature stress on the growth and development of grafted pepino seedlings

Solanum muricatum (Pepino) is a solanaceous crop gaining popularity but susceptible to biotic and abiotic stress in cultivation. Grafting has been shown to improve the plant’s adaptability to adverse conditions. The results showed that the In terms of The grafted cantaloupe eggplant showed stronger resistance to low-temperature stress, the increase in relative conductivity of cantaloupe eggplant autografted seedlings was significantly higher than that of grafted seedlings, and both MDA contents were significantly lower than that of cantaloupe eggplant autografted seedlings, and the low-temperature tolerance of the grafted seedlings became more pronounced with the prolongation of the stress time.When assessing resistance to low-temperature stress, grafted pepinos showed enhanced tolerance compared to non-grafted cuttings, likely due to synergistic effects between scion and rootstock during the grafting process. These results suggest that grafting can significantly improve pepino’s low-temperature tolerance.

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Aug 13, 2024

Gradient based optimizer with deep learning based agricultural land use and land cover classification on SAR data

Agricultural land use and land cover (LULC) classification using synthetic aperture radar (SAR) data is a fundamental application in remote sensing and precision agriculture. Leveraging the abilities of SAR, which can enter over cloud cover and deliver detailed data about surface features, allows a robust analysis of agricultural landscapes. By harnessing the control of SAR data and innovative deep learning (DL) methods, this technique provides a complete solution for effectual and automatic agricultural land classification, paving the method for informed decision-making in present farming systems. This study introduces a new gradient based optimizer with deep learning based agricultural land use and land cover classification (GBODL-ALULC) technique on SAR data. The GBODL-ALULC technique aims to detect and classify distinct types of land cover that exist in the SAR data. In the GBODL-ALULC technique, the feature extraction process takes place by a residual network with a convolutional block attention mechanism (ResNet-CBAM) model. At the same time, the GBO system has been executed for the best hyperparameter choice of the ResNet-CBAM model which helps to improve the overall LULC classification results. Finally, a regularized extreme learning machine (RELM) algorithm has been for the detection and classification of land covers. The performance study of the GBODL-ALULC method is carried out on the SAR dataset. The simulation outcome depicted that the GBODL-ALULC methodology reaches effectual LULC classification outcomes over compared methods.

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Aug 13, 2024

Determining the affecting factors of service quality to logistics operation by Structural Equation Modelling (SEM) under RCEP Implementation, a case study of Beibu Gulf

The service quality of a logistics operation is a key research factor. According to Parasuraman in 1988, there are 5 dimensions about the service quality. In this paper will detective the affecting factors by collecting data from 1560 customers who experienced the service of Beibu Gulf Port Group, Guangxi, China. We used structural equation modeling (SEM) to test whether the service quality factors would affect the logistics operation or not from tangible, responsiveness, reliable and empathy to assurance. Moreover, with the Regional Comprehensive Economic Partnership (RCEP) has been signed, whether this free trade agreement’s effect would affect this Group’s service quality or not would be a consideration of this research. And the traditional service quality factors will affect the RCEP implementation or not will be tested, too. The results in the paper show the significance positive in co-relationship and supporting evidences for the Group’s future development.

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Aug 13, 2024

Burnout in humanitarian work: A qualitative study on the life experiences of workers in Malaysia

Humanitarian workers face numerous challenges when providing assistance to people affected by natural disasters, armed conflicts, and other crises, which often leads to burnout and psychological distress. This qualitative study investigates the interplay of factors that contribute to burnout among Malaysian employees of a refugee-focused humanitarian organization. Ten staff members participated in focus group discussions, which revealed five themes: positive and meaningful emotions; difficult and negative emotions; vicarious trauma, stress, and burnout; work environment, culture, and managerial policies; and structural and governmental stressors. The study emphasizes the need for improved support and resources for humanitarian workers, as well as enhanced organizational policies and practices to prevent and mitigate burnout. The findings suggest that culturally adapted interventions, such as Acceptance and Commitment Therapy (ACT), can help humanitarian workers address their unique psychological challenges. More research is needed to examine the issues present within humanitarian organizations using qualitative methods and adapt appropriate interventions to prevent the development of psychopathology in these settings.

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Aug 13, 2024

Value for money financial governance, level of investment, and quality of regional development in Indonesia

Introduction/Main objectives: This study aims to test the influence of the application of the concept of value for money on regional government financial management at the quality level of regional development, which is determined by the level of foreign and domestic investment in local governments. Background problems: State the problem or economic/business phenomena studied in this paper and specify the research question(s) in one sentence. Novelty: This study has a research model that has yet to be widely carried out in Indonesia, namely, a moderated model regression analysis of the value concept for money on the quality of regional development with investment as a moderating variable. Research methods: This study uses data on financial performance, domestic and foreign investment levels, and human development index of 34 provincial governments from 2017 to 2021. This research data comes from the website of the Directorate General of Fiscal Balance, Ministry of Finance and the Central Bureau of Statistics. The data collected in this study is then analyzed using moderated regression analysis (MRA) with the SPSS ver 23.0 application. Findings/Results: The findings in the research show that the application of value for money ( economics, efficiency, and effectiveness ) from local government financial governance can influence the quality of regional development in Indonesia’s provinces in 2017–2021. In addition, the existence of foreign and domestic investment in the provincial government also strengthens the influence of value-for-money financial governance on the quality level of regional development in the provincial government. Conclusion: Based on existing research, local government financial management applies the concept that value for money needs to be increased to create optimal public services to improve the quality of human development in the regions. Regional governments are also expected to be able to encourage the level of capital investment both domestically and abroad to support the creation of development that can strengthen the quality of regional development in the regions.

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